Painting Color Editing System Based on Virtual Reality Sensor Technology

Abstract

In order to solve the problem of large color matching error in color matching system, this paper proposes a painting color editing system based on virtual reality sensing technology. Apply virtual reality technology (technology) to the proposed system design, and design the system framework based on the three-tier architecture, which includes data access layer, business logic layer, and presentation layer. The hardware includes spectrophotometer, central processing unit, storage device, and virtual reality somatosensory interaction device. The software part takes BP neural network algorithm as the core, trains and processes the three color values, constructs the automatic matching model of painting colors according to the training results, and realizes the logical operation and analysis of the system software. The experimental results show that although there is still a certain error between the painting color matching output by the system and the actual color matching of the test samples, the maximum absolute error of the matching is relatively small, which is less than 0.05. The error between 6 groups of actual matching samples and predicted matching samples is <1.5. Although the designed system has some errors with the expected color matching, the error is small, so the color difference does not affect the visual presentation effect.